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题名:
Identification of motor imagery parameters from EEG using SVM
作者: Xu BL(徐保磊); Fu YF(伏云发); Shi G(石刚); Wang ZD(王志东); Li HY(李洪谊)
作者部门: 机器人学研究室
通讯作者: 徐保磊
会议名称: International Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
会议日期: August 27-28, 2013
会议地点: Hongkong
会议录: Proceedings of the International Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
会议录出版者: CRC Press
会议录出版地: Boca Raton, FL
出版日期: 2013
页码: 319–322
收录类别: EI ; CPCI(ISTP)
ISBN号: 978-1-138-00079-7
摘要: Brain Computer Interface (BCI) is a technology to control devices such as prosthetics, cars, robots and other control related applications using brain signal directly. Currently, EEG-based BCIs are mostly based on classification between different limb effectors, and only few commands can be generated directly. To increase the command number and control efficiency, both clench force parameters and clench speed parameters has been studied independently. In this paper, we try to decode speed and force hand movement imagination at the same time. Alpha band power of EEG signal is extracted as feature and then classified by Support Vector Machine (SVM). The primary result shows that speed and force motor imagery of the same hand is distinguishable, which may increase direct BCI control commands in the future.
语种: 英语
产权排序: 1
EI收录号: 20142117733002
WOS记录号: WOS:000340611200073
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13917
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
Xu BL,Fu YF,Shi G,et al. Identification of motor imagery parameters from EEG using SVM[C]. International Conference on Information Technology and Computer Application Engineering (ITCAE 2013). Hongkong. August 27-28, 2013.Identification of motor imagery parameters from EEG using SVM.
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文件名: Identification of motor imagery parameters from EEG using SVM.pdf
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